AI Safety Expert (temporary full-time project)

mpathic • Seattle, WA

5d • Onsite

About The Position

mpathic is seeking AI Safety Experts for a temporary project to support confidential projects evaluating and improving the safety, reliability, and real-world behavior of frontier AI systems. Priority will be given to applicants who can start immediately and can commute to a Seattle office. The anticipated project duration is three weeks beginning Monday, July 13. This role is ideal for professionals with expertise in human behavior, communication, policy, education, healthcare, technology, trust & safety, or other domains where judgment, critical thinking, and nuanced decision-making matter. You'll help identify model strengths and weaknesses, uncover failure modes, and provide the high-quality human feedback that makes AI systems safer and more useful.

Requirements

• Professional experience or subject matter expertise in a relevant field such as psychology, behavioral science, social work, trust & safety, research, or a related discipline
• Strong written communication skills with excellent attention to detail
• Comfortable learning structured evaluation frameworks and applying them consistently
• Strong critical thinking and problem-solving skills
• High ethical standards and sound judgment when working with sensitive or ambiguous content
• Comfortable using AI tools, Google Workspace, Slack, and other web-based collaboration platforms
• Willingness to sign NDAs and work on confidential projects
• Availability of 40 hours per week working on-site in Seattle

Nice To Haves

• Curious, analytical, thoughtful communicators who enjoy solving complex problems and exercising sound judgment.
• Comfortable evaluating nuanced situations, following detailed guidelines, and contributing to the development of trustworthy AI.

Responsibilities

• Evaluating AI-generated conversations, responses, and reasoning for quality, safety, and usefulness
• Rating model outputs using structured evaluation rubrics and project guidelines
• Annotating conversational data to support AI training and benchmarking
• Identifying emerging risks, behavioral patterns, and opportunities for model improvement
• Providing written feedback that helps researchers and engineers improve model performance
• Maintaining strict confidentiality while working with proprietary AI systems and sensitive content
• Participating in calibration sessions and quality reviews to ensure consistent evaluations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed